Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thiago Fraga-Silva"'
Autor:
Lori Lamel, Rasa Lileikyte, Antoine Laurent, Jean-Luc Gauvain, Thiago Fraga-Silva, Guangpu Huang
Publikováno v:
ICASSP
icassp 2017
icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States
icassp 2017
icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States
International audience; In this paper we aim to enhance keyword search for conversational telephone speech underlow-resourced conditions. Two techniques to improve the detection of out-of-vocabularykeywords are assessed in this study: using extra tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14bd456e085eeff33e7cbbe03555f928
https://hal.science/hal-01744176
https://hal.science/hal-01744176
Autor:
Elisabeth André, Andreas Seiderer, Dominik Schiller, Yvan Josse, Thiago Fraga-Silva, Johannes Wagner
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d48e27d23a5b37a4db73cfc61a9eacae
https://opus.bibliothek.uni-augsburg.de/opus4/files/65072/1066.PDF
https://opus.bibliothek.uni-augsburg.de/opus4/files/65072/1066.PDF
Publikováno v:
International Workshop on Spoken Languages Technologies for Under-resourced languages
International Workshop on Spoken Languages Technologies for Under-resourced languages, Elsevier, May 2016, Yogyakarta, Indonesia
SLTU
International Workshop on Spoken Languages Technologies for Under-resourced languages, Elsevier, May 2016, Yogyakarta, Indonesia
SLTU
International audience; This paper reports on an experimental work to build a speech transcriptionsystem for Lithuanian broadcast data, relying on unsupervised andsemi-supervised training methods as well as on other low-knowledge methods tocompensate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff440f6fc4961c8f196b715ac4d59128
https://hal.archives-ouvertes.fr/hal-01837184
https://hal.archives-ouvertes.fr/hal-01837184
Publikováno v:
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp.5975-5979, ⟨10.1109/ICASSP.2016.7472824⟩
www.icassp2016.org
ICASSP
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp.5975-5979, ⟨10.1109/ICASSP.2016.7472824⟩
www.icassp2016.org
ICASSP
International audience; In this paper we investigate various techniques in order to build effective speech to text (STT) and keyword search (KWS) systems for low resource conversational speech. Sub-word decoding and graphemic mappings were assessed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ef69125ac29fb273e235a2619c4db9
https://hal-univ-lemans.archives-ouvertes.fr/hal-01515254/file/Laurent16.pdf
https://hal-univ-lemans.archives-ouvertes.fr/hal-01515254/file/Laurent16.pdf
Autor:
Jean-Luc Gauvain, Abdel Messaoudi, Thiago Fraga-Silva, Viet Bac Le, Lori Lamel, Antoine Laurent
Publikováno v:
ASRU
ASRU 2015
ASRU 2015, Dec 2015, Scottsdale, United States
ASRU 2015
ASRU 2015, Dec 2015, Scottsdale, United States
This paper extends recent research on training data selection for speech transcription and keyword spotting system development. Selection techniques were explored in the context of the IARPA-Babel Active Learning (AL) task for 6 languages. Different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52a78cd829ddc984bc56ebc8d1d49476
https://doi.org/10.1109/asru.2015.7404788
https://doi.org/10.1109/asru.2015.7404788
Autor:
Jean-Luc Gauvain, Viet Bac Le, Lori Lamel, Antoine Laurent, Abdelkhalek Messaoudi, Thiago Fraga-Silva
Publikováno v:
INTERSPEECH
Interspeech 2015
Interspeech 2015, Sep 2015, Dresden, Germany
Interspeech 2015
Interspeech 2015, Sep 2015, Dresden, Germany
This paper presents first results in using active learning (AL) for training data selection in the context of the IARPABabel program. Given an initial training data set, we aim to automatically select additional data (from an untranscribed pool data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3972d881e8bc49697e1f60e5f9ca8f
https://doi.org/10.21437/interspeech.2015-636
https://doi.org/10.21437/interspeech.2015-636
Publikováno v:
Annual Conference of the International Speech Communication Association
Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France
INTERSPEECH
Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France
INTERSPEECH
This paper reports on a speech-to-text (STT) transcription system for Hungarian broadcast audio developed for the 2012 Quaero evaluations. For this evaluation, no manually transcribed audio data were provided for model training, however a small amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ebbdea5d4189a59acfea64886ae688a
https://hal.archives-ouvertes.fr/hal-01843430
https://hal.archives-ouvertes.fr/hal-01843430